{"id":"W7109843436","doi":"10.15468/dl.b6nfjf","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001014599,0.001777829,0.001523958,0.005420508,0.0009114931,0.002517406,0.00259091,0.00182391,0.1660122],"category_scores_gemma":[0.005827883,0.0008851236,0.001053841,0.01068805,0.0004263771,0.002176517,0.002610055,0.001903189,0.22736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641124,"about_ca_system_score_gemma":0.00252474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298174,"about_ca_topic_score_gemma":0.03728853,"domain_scores_codex":[0.998895,0.0001401683,0.0001448231,0.0003708721,0.0002545392,0.0001946081],"domain_scores_gemma":[0.9973793,0.0006377762,0.0002846875,0.0006732537,0.0006970675,0.0003279628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000279214,0.000009619414,0.0003469909,0.0004826709,0.00001333865,0.0000116175,0.00001929019,0.0000943608,0.0001019333,0.000351581,0.9972432,0.001297515],"study_design_scores_gemma":[0.00006760567,0.000007593209,0.002120235,0.0001809557,0.00001343176,0.00003067781,0.00006399568,0.0001001117,0.0001614797,0.0006228198,0.9966159,0.00001520795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003282848,0.00001969781,0.00002791628,0.00002712122,0.000008849944,0.000004324061,0.9990707,0.0002354097,0.0005732377],"genre_scores_gemma":[0.000135855,0.00002819848,0.00015118,0.00004032191,0.000003267108,0.00003408706,0.9990485,0.0001097964,0.000448906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8339878,"threshold_uncertainty_score":0.555366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}